Polar Route Planning Method Based on Satellite Remote Sensing Data

doi:10.19423/j.cnki.31-1561/u.2023.197

Ship & Boat ›› 2025, Vol. 36 ›› Issue (01): 34-45.DOI: 10.19423/j.cnki.31-1561/u.2023.197

Previous Articles Next Articles

Polar Route Planning Method Based on Satellite Remote Sensing Data

CUI Meng¹, LYU Cheng¹, HE Bin², AI Songtao², WU Gang^1,*

1. Marine Design & Research Institute of China, Shanghai 200011, China;
2. Chinese Antarctic Center of Survey and Mapping, Wuhan University, Wuhan 430079, China

Received:2023-12-19 Revised:2024-01-17 Online:2025-02-25 Published:2025-03-06

基于卫星遥感数据的极地航线规划方法

崔濛¹, 吕成¹, 何滨², 艾松涛², 吴刚^1,*

1.中国船舶及海洋工程设计研究院上海 200011;
2.武汉大学中国南极测绘研究中心武汉 430079

通讯作者: 吴刚（1978-）,男,硕士,研究员。研究方向：海洋科考和极地装备研究与设计。
作者简介:崔濛（1990-）,男,硕士,高级工程师。研究方向：极地装备体系研究、极地装备总体设计。吕成（1998-）,男,硕士,助理工程师。研究方向：船舶总体设计。何滨（1997-）,男,博士研究生。研究方向：极区海冰运动与航线规划。艾松涛（1977-）,男,博士,教授。研究方向：3S技术集成应用与全球变化研究。
基金资助:
国家重点研发计划（2024YFC2816305）

Abstract

Abstract: The sea ice imposes hinderance and safety risk to the navigation of ships in polar regions. It has long been a challenge for polar ship navigators to efficiently complete designated navigation tasks while avoiding risks of ship-ice collisions and being trapped in ice. A navigation environment information grid field and neighborhood networks are established based on the sea ice thickness and concentration data obtained through data inversion based on the high-tech approaches such as microwave remote sensing and satellite measurement. An improved heuristic search algorithm is employed to propose an innovative judgment model considering both the ice navigation capability of ships and structural safety risks. A systematic framework has been established for automatic polar route planning. The results show that the current method effectively considers the impact of the sea ice environment and the ice navigation capability of ships on route planning. The achievements can help accelerate the practical iteration of automatic polar route planning technology and have high application values in the scenario deduction and efficiency evaluation of polar equipment navigation missions.

Key words: polar route planning, pathfinding algorithm, satellite remote sensing inversion, ice navigation model

摘要： 船舶在极区航行时会受到海冰带来的阻碍和安全风险,如何能在高效完成指定航行任务的同时,更好地规避冰撞、冰困风险,是极地船舶驾驶人员长久以来需要面对的难题。该文基于微波遥感和卫星测高等技术途径所获数据,反演得到海冰厚度、密集度等信息,建立航行环境信息栅格场和邻域网;采用改进的启发式搜索算法,创新提出考虑船舶冰区航行能力与结构安全风险双重限制下的判定模型,并建立极地航线自动规划方法的系统框架。研究结果表明该方法有效考虑了海冰环境、船舶冰区航行能力对航线规划的影响,该成果有助于加速极区航线自动规划技术面向实用的迭代,同时在极地装备航行任务想定推演、效能评估方面也具备较高的应用价值。

关键词: 极区航线规划, 路径搜索算法, 卫星遥感反演, 冰区航行模型

CLC Number:

U697

CUI Meng, LYU Cheng, HE Bin, AI Songtao, WU Gang. Polar Route Planning Method Based on Satellite Remote Sensing Data[J]. Ship & Boat, 2025, 36(01): 34-45.

崔濛, 吕成, 何滨, 艾松涛, 吴刚. 基于卫星遥感数据的极地航线规划方法[J]. 船舶, 2025, 36(01): 34-45.

References

[1] 史少越. 智能船舶的航行决策与路径规划算法研究[D].武汉:武汉理工大学,2020.
[2] 杜志啸,齐晓锐,郭鹍. 基于ECDIS 的航线自动规划算法设计[J]. 船海工程,2019,48(1): 163-167.
[3] 赵化川. 基于实况气象的动态航线规划方法设计[D].哈尔滨:哈尔滨工程大学,2017.
[4] 于志同,黄彦,胡洛佳,等. 面向极地航运的卫星观测技术发展研究[J].船舶,2023,34(1):12-19.
[5] LIU Q, WANG Y, ZHANG R, et al.Arctic weather routing: a review of ship performance models and ice routing algorithms[J]. Frontiers in Marine Science, 2023, 10: 1190164.
[6] 吕成,崔濛,吴刚.基于Dijkstra算法的极区船舶航线规划方法[J].船舶工程,2022,44(6):10-19.
[7] CHEN X, SHETI W, LI H, et al.Ship navigation route planning using topology of sea ice channels extracted from high resolution satellite images[C]//IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020: 3066-3069.
[8] FREDERKING R.A model for ship routing in ice[C]//Proceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions, 2003.
[9] ZHANG M Y, DI Z, FU S, et al.A method for planning Arctic Sea routes under multi- constraint conditions[C]//The 24th International Conference on Port and Ocean Engineering under Arctic Conditions, 2017.
[10] FEDI L, ETIENNE L, FAURY O, et al.Arctic navigation: stakes, benefits and limits of the POLARIS system[J]. The Journal of Ocean Technology, 2018 (4): 54-67.
[11] LIU X, SATTAR S, LI S.Towards an automatic ice navigation support system in the Arctic Sea[J]. ISPRS International Journal of Geo-Information, 2016, 5(3): 36.
[12] LI Z, YAO C, ZHU X, et al.A decision support model for ship navigation in Arctic waters based on dynamic risk assessment[J]. Ocean Engineering, 2022, 244: 110427.
[13] 季青,庞小平,陈亦卓,等. 极地冰区航行航线自动规划系统的设计与实现[C]//第六届高分辨率对地观测学术年会论文集 (上),2019.
[14] CHOI M, CHUNG H, YAMAGUCHI H, et al.Application of genetic algorithm to ship route optimization in ice navigation[C]//Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions. 2013.
[15] JACOBS J D.WMO sea-ice nomenclature[J].Arctic and Alpine Research, 1973 (2): 180.
[16] Our Situation, of the moment[EB/OL]. [2014-08-13]. http://figure8voyage.com/our-situation-of-the-moment/
[17] MELSHEIMER C SPREEN G. AMSR2 ASI sea ice concentration data, Antarctic, version 5.4 (NetCDF) (July2012-December 2019) [DB/OL].[2023-12-10]. PANGAEA, https://doi.org/10.1594/PANGAEA.898400.
[18] 霍瑞. ICESat-2高程信息辅助下的北极冰区海冰参数提取及航线规划研究[D].武汉:武汉大学.
[19] DEGGIM H. The international code for ships operating in polar waters (polar code)[M/OL]//HILDEBRAND L, BRIGHAM L, JOHANSSON T, et al. Sustainable Shipping in a Changing Arctic. WMU Studies in Maritime Affairs,2018, 7. Springer, Cham. https://doi.org/10.1007/978-3-319-78425-0_2.
[20] BUTLER T.IACS Polar class requirements and hull structural design applications[J]. Marine Technology and SNAME News, 2009 (2): 16-17.
[21] LOPASHEV K A, SAZONOV K Y, TIMOFEEV O Y.Full-scale ice trials of Novorossiysk icebreaker in the Kara sea[J]. Transactions of the Krylov State Research Centre, 2017, 3(381): 35-42.
[22] TAN X, SU B, RISKA K, et al.A six-degrees-of-freedom numerical model for level ice-ship interaction[J]. Cold Regions Science and Technology, 2013, 92: 1-16.
[23] JEONG S Y, CHOI K, KANG K J, et al.Prediction of ship resistance in level ice based on empirical approach[J]. International Journal of Naval Architecture and Ocean Engineering, 2017, 9(6): 613-623.
[24] LINDQVIST G.A straightforward method for calculation of ice resistance of ships[J]. Proceedings of POAC, 1989(1): 722-735.
[25] HUANG L, LI Z, RYAN C, et al.Ship resistance when operating in floating ice floes: Derivation,validation,and application of an empirical equation[J]. Marine Structures, 2021, 79: 103057.
[26] RISKA K.Design of ice breaking ships[J]. Cold Regions Science and Marine Technology, 2011(1): 1-45.
[27] DOLNY J.Methodology for defining technical safe speeds for light ice-strengthened government vessels operating in ice[J]. Journal of Marine Research, 2016, 50(3): 35-45.
[28] HART P E, NILSSON N J, RAPHAEL B. A formal basis for the heuristic determination of minimum cost paths[J]. IEEE Transactions on Systems Science and Cybernetics, 1968(2):: 100-107.
[29] 罗嵩,王坚. 智能交通系统的最优路径搜索算法的研究与实现[J]. 机电产品开发与创新,2008,21(2): 10-12.

Metrics

Tel: (021)63161688-105006
Fax: (021)63151255
E-mail: chuanbo@maric.com.cn

Copyright ©Ship & Boat
website: http://chuanbo.magtechjournal.com
京ICP备 05021913号
Advertising Business License Number: 3100120200001 Visited:

Polar Route Planning Method Based on Satellite Remote Sensing Data

基于卫星遥感数据的极地航线规划方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 1

Recommended Articles

Metrics